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PhD in Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of
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for: Conducting research and development on AI-based solutions for automated defect inspection and condition assessment of train components by designing and developing deep learning, computer vision, and machine
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the SuccessFactors Careers module from your NRC computer.
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core values. Ability to work independently and/or in a collaborative environment. Proficiency in computer software (i.e. Microsoft Office). Department Specific Functions The Individual in this role will
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– Chemical & Biological Engineering, Civil Engineering, Gianforte School of Computing, Electrical & Computer Engineering, and Mechanical & Industrial Engineering, and is home to the Center for Biofilm
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), Infrastructure (Computer Systems, Software Engineering), and Frontier Engineering (Communications, Electrical Engineering, Mechatronics). In parallel, through strategic cross-campus mobility and lab-sharing, we
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, flavour physics, effective field theories, theories beyond the standard model and computer algebra. More details on current research activities can be found on our homepage: https://www.physik.uzh.ch/en
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to conduct research activities in the field of Brain-Computer Interfaces, in the scope of the project “BCI4ALL”, co-funded by national funds through the Portuguese Foundation for Science and Technology, I.P
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: Permanent, Fixed Term FACULTY POSITIONS (AT ALL LEVELS) IN COMPUTER SCIENCE, COMPUTER ENGINEEERING AND INFORMATION SECURITY The Singapore Institute of Technology (SIT) is Singapore’s first University of
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students Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and